Analyzing 813 AI‑related positions from 555 Beijing companies, the author uncovers a startup‑dominated market, a shift from model competition to Agent‑driven automation, and emerging talent demands such as Multi‑Agent, RAG, and deployment expertise.
The author recounts a recent AI product‑manager interview, analyzes the evolving AI landscape, categorises three types of professionals, and distils the core competencies—market foresight, product positioning, and end‑to‑end ownership—required for AI product managers to thrive in the coming years.
The article reveals a brutal value formula for AI products, explains why traditional requirement gathering fails, and presents ten concrete, data‑driven tactics—from qualitative insight to pricing tests and internal co‑creation—backed by real‑world case studies that help AI product managers turn features into measurable value and sustainable growth.
